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STOC
1993
ACM
141views Algorithms» more  STOC 1993»
13 years 11 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass
COMPUTER
2002
129views more  COMPUTER 2002»
13 years 7 months ago
Networks on Chips: A New SoC Paradigm
of abstraction and coarse granularity and distributed communication control. Focusing on using probabilistic metrics such as average values or variance to quantify design objective...
Luca Benini, Giovanni De Micheli
JSAC
2008
110views more  JSAC 2008»
13 years 7 months ago
Low complexity resource allocation with opportunistic feedback over downlink OFDMA networks
Abstract--Optimal tone allocation in downlink OFDMA networks is a non-convex NP-hard problem that requires extensive feedback for channel information. In this paper, two constantco...
Rajiv Agarwal, Vinay R. Majjigi, Zhu Han, Rath Van...
IHI
2012
370views Healthcare» more  IHI 2012»
12 years 3 months ago
FUSE: a system for data-driven multi-level functional summarization of protein interaction networks
Despite recent progress in high-throughput experimental studies, systems level visualization and analysis of large protein interaction networks (ppi) remains a challenging task, g...
Boon-Siew Seah, Sourav S. Bhowmick, Charles Forbes...
CONEXT
2008
ACM
13 years 9 months ago
MINT: a Market for INternet Transit
Today's Internet's routing paths are inefficient with respect to both connectivity and the market for interconnection. The former manifests itself via needlessly long pa...
Vytautas Valancius, Nick Feamster, Ramesh Johari, ...